Senior Staff Engineer

Who you are

• 8+ years of software engineering experience
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience
• Strong experience with Java, microservices, APIs, databases, and distributed systems
• Experience with NFV, virtual networking, BGP, orchestration, and cloud-native platforms
• Experience leading technical designs and guiding engineers through complex implementations
• Strong problem-solving, technical decision-making, collaboration, and communication skills

What the job involves

• Designs and develops scalable software systems and provides technical leadership for complex engineering initiatives. Leads technical designs, guides engineers, evaluates trade-offs, and collaborates across Product, Architecture, Operations, and engineering teams
• Architecture & Technical Leadership
• Leads architecture and design for complex features and services
• Provides technical leadership and guidance to engineering teams
• Drives technical discussions and helps teams make sound design decisions
• Evaluates technical trade-offs across scalability, reliability, performance, and maintainability
• Mentors engineers and promotes engineering best practices
• Collaborates across teams to drive end-to-end solutions
• Software Engineering
• Designs and develops solutions using Java, microservices, APIs, and databases
• Drives integration across multiple services and platforms
• Leads design and code reviews and promotes software quality
• Designs orchestration and automation workflows
• Troubleshoots complex issues across application, infrastructure, and networking layers
• Network Edge / NFV
• Strong understanding of NFV concepts and VNF lifecycle management
• Experience with network/security vendors, VNF images, onboarding, upgrades, and migrations
• Strong knowledge of virtual networking, BGP, routing, VLAN/VXLAN, and network connectivity
• Experience with network/VNF performance characterization, throughput, latency, and troubleshooting
• Understanding of high availability, resiliency, and recovery architectures
• Cloud, Reliability & Operations
• Experience with Kubernetes, containers, virtualization, and cloud-native architectures
• Drives improvements in automation, observability, reliability, and operational readiness
• Supports production troubleshooting, root-cause analysis, and long-term engineering improvements
• Innovation
• Evaluates emerging technologies and recommends practical adoption
• Exposure to AI/LLM models and AI-enabled application architectures
• Identifies opportunities to improve platform architecture, performance, and engineering efficiency